AI & ML

Manage the lifecycle of your Alibaba Cloud resources with CloudOps Orchestration Service and Alibaba Cloud OpenAPI.

A remote access bridge for IDA Pro that enables LLMs to perform binary analysis, decompile code, manage memory, and control the debugger through a multi-instance coordinator architecture.

A Python-based MCP framework that provides a modular environment for orchestrating agents with support for real-time weather data fetching and a RAG-enabled vector knowledge base.

AgentUp is an enterprise-grade, configuration-driven AI agent framework that provides portable, secure, and scalable agent infrastructure with built-in Model Context Protocol (MCP) support.

Enable AI assistants to search, access, and analyze PubMed articles through a simple MCP interface.

MCP server that enables AI agents to perform search and analytics use cases on data stored in OpenSearch.

An MCP server that integrates the Perplexity API into AI clients, enabling real-time search-based chat completions with verifiable citations.

Enhances any agent's reasoning capabilities by integrating the think-tools, as described in Anthropic's article.

A comprehensive MCP server that integrates Google's Gemini 3 capabilities into Claude, offering over 30 tools for image/video generation, deep research, code execution, and advanced document analysis.

A self-hosted low-code platform and MCP server that allows developers to create, test, and expose JavaScript-based AI tools in real-time while integrating with RAG and external MCP services.

A robust MCP server that provides a secure bridge for AI to interact with multiple database types (SQLite, MySQL, PostgreSQL) through read-only tools for schema analysis, querying, and performance monitoring.

An MCP server providing OpenCV computer vision capabilities. This allows AI assistants and language models to access powerful computer vision tools.

A comprehensive MCP server built with Google Apps Script that provides 160+ tools to automate and interact with the entire Google Workspace ecosystem, including Gmail, Drive, Sheets, Docs, Calendar, and Classroom.

A robust memory system integration for AI agents that enables persistent long-term memory across sessions using Mem0, supporting cloud, Supabase, and local storage options.

MCP (Model Context Protocol) Server. Connects AI systems to molecular visualization software like PyMol and ChimeraX, enabling direct command execution and image capture of molecular structures for scientific workflows.

Deliver real-time investment research with extensive private and public market data.

A versatile Vue.js and Electron-based application that integrates Model Context Protocol (MCP) with OpenAI and Anthropic models to provide browser automation, weather, and news tools.

A comprehensive MCP server for Rust development that enables AI agents to explore crate documentation, analyze source code, trace dependencies, and visualize module structures. It facilitates deep understanding of Rust projects through local caching and detailed item inspection from crates.io, GitHub, or local paths.

A comprehensive MCP server providing Google Cloud Vertex AI Gemini capabilities including web-grounded research, technical documentation analysis, filesystem operations, and deep code architecture assistance.

A PubMed integration for MCP that enables searching and fetching from over 35 million biomedical citations and life science journals. It provides a bridge to the MEDLINE database via the pubmedclient library.

Single-File AI Chatbot UI with Multimodal & MCP Support: An All-in-One HTML File for a Streamlined Chatbot Conversational Interface

Retrieve context from your Ragie (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.

A documentation-search MCP server that indexes Google Gemini API docs into a local SQLite database, offering full-text search and specific model/capability retrieval for developers.

A sophisticated neural memory system for AI that uses a three-tier hierarchical storage (short-term, long-term, and archive) with momentum-based learning to maintain context across conversations.

MCP (Model Context Protocol) Server. Command and control framework that enables secure remote system administration through a Python server and PowerShell client, maintaining task tracking in SQLite for efficient execution and reporting.

The Ahrefs MCP server integrates SEO data into AI assistants, enabling rank tracking, keyword research, and competitor analysis using Ahrefs' API v3.

A Ruby on Rails engine that provides full Model Context Protocol (MCP) server capabilities, allowing Rails apps to expose tools, prompts, and resources to AI models with native database and session support.

A versatile GraphRAG MCP server that integrates with 13 data sources and multiple vector/graph databases to provide hybrid search and AI-powered document intelligence.

A comprehensive MCP server providing deep integration with Nextcloud apps including Files, Notes, Calendar, Deck, and Contacts, enabling natural language interactions and semantic search via AI assistants.

A bridge between Jadx and MCP that allows AI models to interactively decompile, search, and navigate Android application source code in real-time.